STATISTICAL INFERENCE FROM MULTIDISIPLINARY ACCIDENT INVESTIGATION

Multi-disciplinary accident investigation (MDAI) reports generated by more than twenty contractors have been compiled in digital form for analysis. Methods for drawing inferences regarding the relationship between crash severity and injury severity in the face of poorly defined samples are presented. The problems of determining accident and injury causation factors are discussed. Certain sub-sets of the MDAI data, particularly when considered with police-reported accident information from the same jurisdictions, can be used to estimate the frequency of occurrence of some phenomena of interest. Finally a plan is presented for a modification of the present MDAI program which should achieve both a statistically representative sample of accidents for a large portion of the United States and a capability to conduct special short term studies to answer specific questions.

  • Corporate Authors:

    Highway Safety Research Institute

    Huron Parkway and Baxter Road
    Ann Arbor, MI  USA  48109
  • Authors:
    • O'Day, J
    • Carlson, W L
    • Douglass, R L
    • Kaplan, R J
  • Publication Date: 1974-8

Media Info

  • Features: Tables;
  • Pagination: 237 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00261758
  • Record Type: Publication
  • Source Agency: Highway Safety Research Institute
  • Report/Paper Numbers: DOT-HS-801 111 Final Rpt.
  • Contract Numbers: DOT-HS-031-2-350
  • Files: TRIS
  • Created Date: Nov 6 1990 12:00AM